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\nMachine Learning Systems Design with Sara Hooker: Flaw finding methods\n

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\n\nPublisher:\n\nde Dicto\n\n\n
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\nSara Hooker elaborates on the methods applied to saliency, interpretability methods in order to find the flaws in them.Machine Learning Systems Design with Sara Hooker, Part 2\nSara Hooker elaborates on the methods applied to saliency, interpretability methods in order to find the flaws in them.
Machine Learning Systems Design with Sara Hooker, Part 2\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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7:11
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Grade
Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nde Dicto\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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pixels, cats, dogs
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Additional Tags

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nlp, natural language processing, language, machine learning, ai, pragmatic considerations, developers, convolutional neural network, sara hooker, algorithmic bias, saliency, artefacts, deep neural networks, probabilistic architecture, agi, daniel d'souza, chirag agarwal, zach nussbaum, technical users, vantage point, end users, saliency map, interpretability metrics, interpretability tools, excellent question, saliency methods, important pixels, interpretability, model, features, methods, important, reliable, removed, constraint, interesting, found, elaborate, find, designed, naturally, fact, kind, suspect, widely
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